{"id":"W4407080336","doi":"10.1016/j.psyneuen.2025.107379","title":"Comparing immunoassay and mass spectrometry techniques for salivary sex hormone analysis","year":2025,"lang":"en","type":"article","venue":"Psychoneuroendocrinology","topic":"Stress Responses and Cortisol","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire en Santé Mentale de Québec; Université du Québec à Montréal","funders":"Canadian Institutes of Health Research; Réseau en Bio-Imagerie du Quebec","keywords":"Immunoassay; Mass spectrometry; Chromatography; Sex hormone-binding globulin; Chemistry; Hormone; Medicine; Internal medicine; Antibody; Immunology; Androgen","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02672747,0.001896054,0.00140731,0.004406855,0.0005988897,0.003601398,0.001767889,0.002258442,0.001030091],"category_scores_gemma":[0.04180726,0.001017838,0.001990202,0.002512695,0.001314698,0.002150948,0.002286775,0.001832209,0.0008762067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009943746,"about_ca_system_score_gemma":0.001625783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002502768,"about_ca_topic_score_gemma":0.003092082,"domain_scores_codex":[0.9723591,0.01238561,0.00184776,0.004346494,0.008319895,0.000741163],"domain_scores_gemma":[0.9782355,0.01364461,0.001802753,0.001787436,0.004261189,0.0002684462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002829865,0.0009363006,0.1941309,0.006006931,0.006852137,0.0004692962,0.002100574,0.01416736,0.2419413,0.01102372,0.006359231,0.5131823],"study_design_scores_gemma":[0.0005323191,0.005825008,0.3025039,0.002144487,0.005173493,0.004702639,0.002881818,0.1968783,0.3694978,0.02917898,0.07919587,0.001485442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2177137,0.05376932,0.7077074,0.003979286,0.002334632,0.001463616,0.001999656,0.0021653,0.008867043],"genre_scores_gemma":[0.4451952,0.0160071,0.5284983,0.003772625,0.0009180674,0.001361495,0.001624421,0.0006291388,0.001993604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02672747,"threshold_uncertainty_score":0.14135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002405370601794,"score_gpt":0.3187513427890855,"score_spread":0.2887272890830676,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}